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0Applus+ IDIADA
Bisbal del Penedès, La, ES
Operario/a en electromovilidad - ensayos de motores eléctricos
Applus+ IDIADA · Bisbal del Penedès, La, ES
Descripción de la empresa
Construyendo el Futuro de la Ingeniería Automotriz
Applus+ IDIADA es líder mundial en ingeniería automotriz y ofrece una oportunidad de carrera dinámica y gratificante para profesionales apasionados por construir el futuro de la movilidad. Como empresa con certificación TOP Employer y más de 3500 profesionales de más de 24 países, ofrecemos un entorno de trabajo diverso e inclusivo que fomenta la innovación y el crecimiento, con compañeros de más de 55 nacionalidades que contribuyen a vehículos más seguros, eficientes y sostenibles.
¿Por qué unirse a nosotros?
Disfruta de un modelo de trabajo altamente flexible en una empresa que cuida el bienestar de sus empleados y ofrece beneficios para la conciliación de la vida laboral y personal, como comedor subvencionado, cursos de idiomas gratuitos, transporte y servicios de coaching.
Únete a una empresa con un profundo compromiso con la sostenibilidad y esfuérzate por alcanzar tu máximo potencial en un entorno dinámico y desafiante que valora la innovación y la experiencia.
Únete a nosotros en el camino hacia el éxito.
Descripción del empleo
Dentro del equipo de powertrain destinado a la línea de vehículos eléctricos, se requiere a un operario/a para el montaje y operación de ensayos de componentes de alto voltaje. Dentro de la parte técnica del equipo, sus responsabilidades principales serán:
- Gestión de las muestras de ensayo
- Preparar e instalar diferentes tipos de sensores y sistemas de adquisición de datos
- Gestión de los equipos de testing (cicladores, cámaras climáticas, enfriadoras, etc.)
- Transporte de las muestras dentro y fuera de la cámara climática (uso de toro y/o transpalet)
- Seguimiento y control del ensayo on-line y reporte a los ingenieros/as en caso de incidencia.
- Mantenimiento del laboratorio y sus equipos
- Preparación y montaje de equipos de ensayos, cableados, armarios eléctricos
Educación:
- Formación a nivel de Formación Profesional II o Ciclo Formativo de Grado Superior especialidad electricidad o electrónica industrial
- Altamente apreciable formación profesional relacionada con la automoción, electromecánica y mantenimiento de equipos
- Capacidad de leer y entender esquemas eléctricos
- Otras formaciones complementarias serán valoradas
- Conocimientos de diferentes tipos de soldadura electrónica
- Experiencia en equipos, cableados de electrónica de potencia y montaje de cuadros eléctricos
- Persona habituada a trabajar equipos de medida y adquisición de datos, analizadores, etc.
- Persona resolutiva y proactiva.
- Será altamente valorado el dominio del inglés.
- Otros idiomas serán valorados.
Applus IDIADA is committed to equality, diversity and inclusion. We don’t put limits on you, so don’t put limits on yourself either. There is a place for everyone.
Escuela Politécnica Superior de la Universidad de Alcalá
Valderredible, ES
Machine Learning Techniques Applied To Power Grids
Escuela Politécnica Superior de la Universidad de Alcalá · Valderredible, ES
Machine Learning
Organisation/Company Universidad de Alcalá Department Signal Processing and Communications Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 24 Jun 2025 - 09:00 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme Reference Number TEC-2024/ECO-287 Is the Job related to staff position within a Research Infrastructure?
NoOffer DescriptionThe researcher will develop various applications, algorithms, and AI techniques for Virtual Power Plants (VPPs) within the distribution grid environment.
These algorithms and techniques will include neural networks, evolutionary computing, and deep neural networks.Where to applyE-mail ****** Field Computer science » Other Education Level Bachelor Degree or equivalentSkills/QualificationsBachelor's Degree in Engineering, preferably in Telecommunication Engineering .Specific RequirementsResearch experience in programming algorithms and soft computing techniques.Previous experience in the specified research area will be positively valued.#J-18808-Ljbffr
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
30 jun.CSIC
Valderredible, ES
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
CSIC · Valderredible, ES
Python C++ MATLAB
- The Instituto Biofisika (IBF; ) is ajoint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC).
Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez.
The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo ( research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocitosys in living cells through the development of new methods of cryo electron tomography processing.
We aim now at extending this tool through the integration of novel deep learning techniques for the identification and characterization of small, flexible proteins within their natural surroundings.
The successful applicant will contribute to the development of these new methodologies, as well as to the ongoing development and maintenance of the software.
Additionally, they will be involved in the analysis of cryoET datasets provided by external collaborators.Ideal candidates for these positions must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab.
An interest in carrying research in Life Sciences is assumed.Necessary qualifications are:Experience in Deep Learning and/or other methods from Artificial Intelligence.Solid background in numerical mathematics, including optimization and heuristic optimization methods.Proficiency in software prototyping and production.
Good command of MATLAB, Python, C++ and/or CUDA is expected.Further desirable qualifications of the successful candidate include:Experience in Image Processing for Electron Microscopy.Experience in Image Processing for Light Microscopy.Experience in Molecular Dynamics Simulations.Positions have a flexible incorporation date aiming at an effective start date in Fall 2025 and with additional third-party funding secured till August 2029.
Salaries will be aligned with the candidate's skills, qualifications, and experience, within the official salary ranges established by the Spanish Research Council (CSIC): €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.
Expressions of interest in a single pdf should be directed to ****** including:Curriculum Vitae with academic record.A motivation letter
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
30 jun.CSIC
Cartagena, ES
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
CSIC · Cartagena, ES
Python C++ MATLAB
- The Instituto Biofisika (IBF; ) is ajoint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC).
Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez.
The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo ( research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocitosys in living cells through the development of new methods of cryo electron tomography processing.
We aim now at extending this tool through the integration of novel deep learning techniques for the identification and characterization of small, flexible proteins within their natural surroundings.
The successful applicant will contribute to the development of these new methodologies, as well as to the ongoing development and maintenance of the software.
Additionally, they will be involved in the analysis of cryoET datasets provided by external collaborators.Ideal candidates for these positions must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab.
An interest in carrying research in Life Sciences is assumed.Necessary qualifications are:Experience in Deep Learning and/or other methods from Artificial Intelligence.Solid background in numerical mathematics, including optimization and heuristic optimization methods.Proficiency in software prototyping and production.
Good command of MATLAB, Python, C++ and/or CUDA is expected.Further desirable qualifications of the successful candidate include:Experience in Image Processing for Electron Microscopy.Experience in Image Processing for Light Microscopy.Experience in Molecular Dynamics Simulations.Positions have a flexible incorporation date aiming at an effective start date in Fall 2025 and with additional third-party funding secured till August 2029.
Salaries will be aligned with the candidate's skills, qualifications, and experience, within the official salary ranges established by the Spanish Research Council (CSIC): €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.
Expressions of interest in a single pdf should be directed to ****** including:Curriculum Vitae with academic record.A motivation letter
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
30 jun.CSIC
Murcia, ES
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
CSIC · Murcia, ES
Python C++ MATLAB
- The Instituto Biofisika (IBF; ) is ajoint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC).
Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez.
The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo ( research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocitosys in living cells through the development of new methods of cryo electron tomography processing.
We aim now at extending this tool through the integration of novel deep learning techniques for the identification and characterization of small, flexible proteins within their natural surroundings.
The successful applicant will contribute to the development of these new methodologies, as well as to the ongoing development and maintenance of the software.
Additionally, they will be involved in the analysis of cryoET datasets provided by external collaborators.Ideal candidates for these positions must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab.
An interest in carrying research in Life Sciences is assumed.Necessary qualifications are:Experience in Deep Learning and/or other methods from Artificial Intelligence.Solid background in numerical mathematics, including optimization and heuristic optimization methods.Proficiency in software prototyping and production.
Good command of MATLAB, Python, C++ and/or CUDA is expected.Further desirable qualifications of the successful candidate include:Experience in Image Processing for Electron Microscopy.Experience in Image Processing for Light Microscopy.Experience in Molecular Dynamics Simulations.Positions have a flexible incorporation date aiming at an effective start date in Fall 2025 and with additional third-party funding secured till August 2029.
Salaries will be aligned with the candidate's skills, qualifications, and experience, within the official salary ranges established by the Spanish Research Council (CSIC): €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.
Expressions of interest in a single pdf should be directed to ****** including:Curriculum Vitae with academic record.A motivation letter
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
30 jun.CSIC
Jaén, ES
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
CSIC · Jaén, ES
Python C++ MATLAB
- The Instituto Biofisika (IBF; ) is ajoint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC).
Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez.
The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo ( research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocitosys in living cells through the development of new methods of cryo electron tomography processing.
We aim now at extending this tool through the integration of novel deep learning techniques for the identification and characterization of small, flexible proteins within their natural surroundings.
The successful applicant will contribute to the development of these new methodologies, as well as to the ongoing development and maintenance of the software.
Additionally, they will be involved in the analysis of cryoET datasets provided by external collaborators.Ideal candidates for these positions must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab.
An interest in carrying research in Life Sciences is assumed.Necessary qualifications are:Experience in Deep Learning and/or other methods from Artificial Intelligence.Solid background in numerical mathematics, including optimization and heuristic optimization methods.Proficiency in software prototyping and production.
Good command of MATLAB, Python, C++ and/or CUDA is expected.Further desirable qualifications of the successful candidate include:Experience in Image Processing for Electron Microscopy.Experience in Image Processing for Light Microscopy.Experience in Molecular Dynamics Simulations.Positions have a flexible incorporation date aiming at an effective start date in Fall 2025 and with additional third-party funding secured till August 2029.
Salaries will be aligned with the candidate's skills, qualifications, and experience, within the official salary ranges established by the Spanish Research Council (CSIC): €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.
Expressions of interest in a single pdf should be directed to ****** including:Curriculum Vitae with academic record.A motivation letter
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
30 jun.CSIC
Málaga, ES
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
CSIC · Málaga, ES
Python C++ MATLAB
- The Instituto Biofisika (IBF; ) is ajoint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC).
Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez.
The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo ( research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocitosys in living cells through the development of new methods of cryo electron tomography processing.
We aim now at extending this tool through the integration of novel deep learning techniques for the identification and characterization of small, flexible proteins within their natural surroundings.
The successful applicant will contribute to the development of these new methodologies, as well as to the ongoing development and maintenance of the software.
Additionally, they will be involved in the analysis of cryoET datasets provided by external collaborators.Ideal candidates for these positions must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab.
An interest in carrying research in Life Sciences is assumed.Necessary qualifications are:Experience in Deep Learning and/or other methods from Artificial Intelligence.Solid background in numerical mathematics, including optimization and heuristic optimization methods.Proficiency in software prototyping and production.
Good command of MATLAB, Python, C++ and/or CUDA is expected.Further desirable qualifications of the successful candidate include:Experience in Image Processing for Electron Microscopy.Experience in Image Processing for Light Microscopy.Experience in Molecular Dynamics Simulations.Positions have a flexible incorporation date aiming at an effective start date in Fall 2025 and with additional third-party funding secured till August 2029.
Salaries will be aligned with the candidate's skills, qualifications, and experience, within the official salary ranges established by the Spanish Research Council (CSIC): €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.
Expressions of interest in a single pdf should be directed to ****** including:Curriculum Vitae with academic record.A motivation letter
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
30 jun.CSIC
Madrid, ES
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
CSIC · Madrid, ES
Python C++ MATLAB
- The Instituto Biofisika (IBF; ) is ajoint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC).
Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez.
The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo ( research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocitosys in living cells through the development of new methods of cryo electron tomography processing.
We aim now at extending this tool through the integration of novel deep learning techniques for the identification and characterization of small, flexible proteins within their natural surroundings.
The successful applicant will contribute to the development of these new methodologies, as well as to the ongoing development and maintenance of the software.
Additionally, they will be involved in the analysis of cryoET datasets provided by external collaborators.Ideal candidates for these positions must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab.
An interest in carrying research in Life Sciences is assumed.Necessary qualifications are:Experience in Deep Learning and/or other methods from Artificial Intelligence.Solid background in numerical mathematics, including optimization and heuristic optimization methods.Proficiency in software prototyping and production.
Good command of MATLAB, Python, C++ and/or CUDA is expected.Further desirable qualifications of the successful candidate include:Experience in Image Processing for Electron Microscopy.Experience in Image Processing for Light Microscopy.Experience in Molecular Dynamics Simulations.Positions have a flexible incorporation date aiming at an effective start date in Fall 2025 and with additional third-party funding secured till August 2029.
Salaries will be aligned with the candidate's skills, qualifications, and experience, within the official salary ranges established by the Spanish Research Council (CSIC): €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.
Expressions of interest in a single pdf should be directed to ****** including:Curriculum Vitae with academic record.A motivation letter
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
30 jun.CSIC
Orense, ES
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
CSIC · Orense, ES
Python C++ MATLAB
- The Instituto Biofisika (IBF; ) is ajoint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC).
Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez.
The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo ( research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocitosys in living cells through the development of new methods of cryo electron tomography processing.
We aim now at extending this tool through the integration of novel deep learning techniques for the identification and characterization of small, flexible proteins within their natural surroundings.
The successful applicant will contribute to the development of these new methodologies, as well as to the ongoing development and maintenance of the software.
Additionally, they will be involved in the analysis of cryoET datasets provided by external collaborators.Ideal candidates for these positions must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab.
An interest in carrying research in Life Sciences is assumed.Necessary qualifications are:Experience in Deep Learning and/or other methods from Artificial Intelligence.Solid background in numerical mathematics, including optimization and heuristic optimization methods.Proficiency in software prototyping and production.
Good command of MATLAB, Python, C++ and/or CUDA is expected.Further desirable qualifications of the successful candidate include:Experience in Image Processing for Electron Microscopy.Experience in Image Processing for Light Microscopy.Experience in Molecular Dynamics Simulations.Positions have a flexible incorporation date aiming at an effective start date in Fall 2025 and with additional third-party funding secured till August 2029.
Salaries will be aligned with the candidate's skills, qualifications, and experience, within the official salary ranges established by the Spanish Research Council (CSIC): €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.
Expressions of interest in a single pdf should be directed to ****** including:Curriculum Vitae with academic record.A motivation letter